This paper is in the following e-collection/theme issue:

Artificial Intelligence (1739) Registered Report (675) Machine Learning (1738) Adoption and Change Management of eHealth Systems (797) Knowledge Translation and Implementation Science (442) Digital Health, Telehealth and e-Innovation in Clinical Settings (476) Reviews (120)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55897, first published .
Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies

Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies

Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies

Authors of this article:

Luigi M Preti1 Author Orcid Image ;   Vittoria Ardito1 Author Orcid Image ;   Amelia Compagni1, 2 Author Orcid Image ;   Francesco Petracca1 Author Orcid Image ;   Giulia Cappellaro1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Heffernan A, Ganguli R, Sears I, Stephen A, Heffernan D. Choice of Machine Learning Models Is Important to Predict Post-Operative Infections in Surgical Patients. Surgical Infections 2025 View
  2. Farahani S, Hejazi M, Moradizeyveh S, Di Ieva A, Fatemizadeh E, Liu S. Diagnostic Accuracy of Deep Learning Models in Predicting Glioma Molecular Markers: A Systematic Review and Meta-Analysis. Diagnostics 2025;15(7):797 View
  3. Boudreaux C, Wroe E, Thapa A, Abebe N, Akiteng A, Drown L, Gadewar A, Karmacharya B, Karki S, Mansoor M, Mutagaywa R, Mulenga B, Mutengerere A, Nollino L, Salvi D, Dagnaw W, Bukhman G, Mocumbi A, Adler A, Probandari A. Organization of services for severe chronic Noncommunicable diseases at first-level hospitals in nine lower-income countries: Results from a Baseline assessment of PEN-Plus initiation. PLOS Global Public Health 2025;5(5):e0004552 View